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1. |
Record Nr. |
UNISA990003040770203316 |
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Titolo |
Il Seicento fiorentino : arte a Firenze da Ferdinando 1. a Cosimo 3. : Palazzo Strozzi, 21 dicembre 1986-4 maggio 1987 |
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Pubbl/distr/stampa |
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Descrizione fisica |
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Collocazione |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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In testa al front.: Comitato Raffaello e Seicento fiorentino |
Nell'occhietto: 1986, Firenze capitale europea della cultura |
Catalogo della mostra |
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2. |
Record Nr. |
UNINA9910481893903321 |
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Autore |
Bona Giovanni <1609-1674.> |
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Titolo |
Wegh-wyser na den hemel, behelsende het mergh en pit der H. Oudt-vaderen en der heidense oude wijsen. 't Samen gestelt, door ... Johannes Bona Nu nieulijcx uit het Latijn overgeset en met vaersen ... vermeerdert . [[electronic resource]] |
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Pubbl/distr/stampa |
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Delft, : Arnold Bon, 1674 |
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Descrizione fisica |
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Online resource ([18], 268 p, 12°) |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Reproduction of original in Koninklijke Bibliotheek, Nationale bibliotheek van Nederland. |
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3. |
Record Nr. |
UNINA9910975306103321 |
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Autore |
Newpower Anthony <1967-> |
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Titolo |
Iron men and tin fish : the race to build a better torpedo during World War II / / Anthony Newpower |
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Pubbl/distr/stampa |
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Westport, Conn. : , : Praeger Security International, , 2006 |
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London : , : Bloomsbury Publishing (UK), , 2024 |
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ISBN |
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9798400672774 |
9780313080517 |
0313080518 |
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Edizione |
[1st ed.] |
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Descrizione fisica |
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1 online resource (xiv, 235 p. ) : ill |
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Collana |
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War, technology, and history, , 1556-4929 |
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Disciplina |
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Soggetti |
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Torpedoes - United States - Design and construction - History - 20th century |
World War, 1939-1945 - Equipment |
World War, 1939-1945 - Naval operations - Submarine |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Bibliographic Level Mode of Issuance: Monograph |
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Nota di bibliografia |
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Includes bibliographical references (p. [221]-224) and index. |
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Nota di contenuto |
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Cover -- Contents -- Series Foreword -- Preface -- Acknowledgments -- Prologue -- 1. Early Torpedo Development -- 2. A Deadly New Application -- 3. "… to Fight with a Wooden Gun" -- 4. Deep Trouble (U.S. Torpedoes 7 December 1941-3 June 1942) -- 5. Success beyond Expectations -- 6. Lockwood to the Rescue -- 7. Outclassed -- 8. "We Don't Like Prematures" -- 9. The Toothless Sharks -- 10. A Weapon Worthy of the Crews It Served -- Epilogue -- Notes -- Bibliography -- Index -- A -- B -- C -- D -- E -- F -- G -- H -- I -- J -- K -- L -- M -- N -- O -- P -- Q -- R -- S -- T -- U -- V -- W -- Y -- Z. |
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Sommario/riassunto |
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Deals with the torpedo problem, building its case out of original research from the archives of the Bureau of Ordnance, Vice Admiral Lockwood's personal correspondence, and records from the Admiralty in the British National Archives. This work is complemented by correspondence and interviews with men who participated in the events. |
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4. |
Record Nr. |
UNINA9911007357803321 |
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Autore |
Bastos Diogo R. M |
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Titolo |
Advances in Gait-Based Identification : A Systematic Review of Deep Learning Models Leveraging Computer Vision Techniques / / by Diogo R. M. Bastos, João Manuel R. S. Tavares |
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Pubbl/distr/stampa |
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Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
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ISBN |
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Edizione |
[1st ed. 2025.] |
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Descrizione fisica |
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1 online resource (XIX, 96 p. 22 illus., 18 illus. in color.) |
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Collana |
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Studies in Systems, Decision and Control, , 2198-4190 ; ; 593 |
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Disciplina |
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Soggetti |
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Computer vision |
Image processing |
Biomechanics |
Artificial intelligence |
Biometric identification |
Computer Vision |
Image Processing |
Artificial Intelligence |
Biometrics |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Introduction -- Background -- Research objectives and method -- Datasets -- Comparison of the reviewed methods -- Conclusion. |
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Sommario/riassunto |
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This book provides a systematic review of gait-based person identification, categorizing studies into deep-learning and non-deep-learning approaches while analyzing key datasets and performance metrics. It explores challenges such as covariant factors, e.g., viewing angles, clothing, and accessories, and highlights advancements in real-world gait recognition systems. With a structured methodology and transparent review process, this work serves as a valuable reference for researchers and a foundation for future developments in biometric identification. |
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